Inertia Enterprises burst onto the scene in February with a $450 million Series A, making it one of the best capitalized startups in the industry, aiming to bring laser-based fusion reactors to market.
Modern scientific societies are increasingly vulnerable due to their dependence on membership fees and journal subscriptions, which are being challenged by the rise of virtual networking and open-access publishing.
Librarians have been actively collaborating and talking about it almost every day, whether it's creating tutorials and digital learning objectives or thinking about the conversations to have with instructors. It can feel like cognitive dissonance to be actively working with AI on a regular basis and also saying we're constantly thinking about the harms and the biases.
Digital products & services shape almost every sector of modern life. They have become an important backbone of the world's economy and society. The balance of our digital economy depends on a delicate interplay between tech companies, startups, software developers, foundations, and other stakeholders - many of which have partly become autonomous in recent years.
His message is clear: our world is built on abundant energy, around 80% of which has come from fossil fuels over the past 50 years. Because supplies are limited, energy consumption will peak in decades - sooner if humans attempt to limit climate change. To keep global warming below 1.5 °C by 2100, the use of fossil fuels must fall by 5-8% each year - a pace that is too fast for low-carbon energy to keep up with.
Within a couple of years of ChatGPT coming out, I had come to rely on the artificial-intelligence tool, for my work as a professor of plant sciences at the University of Cologne in Germany. Having signed up for OpenAI's subscription plan, ChatGPT Plus, I used it as an assistant every day - to write e-mails, draft course descriptions, structure grant applications, revise publications, prepare lectures, create exams and analyse student responses, and even as an interactive tool as part of my teaching.
If you've worked in a technical role in news for long enough, you likely remember when the "show your work" spirit was everywhere. Newsroom nerds shared code on GitHub, swapped tips on social media and unfurled long blogs guiding others on how to get things done. You might also have a vague sense that - like reaction GIFs, demotivational posters, and that guy who sang "Chocolate Rain" - you're seeing less of it these days.
A few years ago, I put together what I felt was a truly innovative concept, which I presented in a conference poster at an international meeting in my field. After the presentation, I spoke to another early-career scientist about my work and how it might apply to their findings. Two years later, they scooped me by publishing a preprint paper that presented my idea, with many of the same verbal formulations and an identical flow of ideas, without any acknowledgement or attribution to my work.
"A lot of these AI businesses are looking for readily available, structured databases of content," Robert Hahn, head of business affairs and licensing for The Guardian, told . "The Internet Archive's API would have been an obvious place to plug their own machines into and suck out the IP."
I'm less interested in topics than in questions, and I'm less interested in publishing than I am in curation. When I've testified before Congress or dealt with an appropriations bill or a budget negotiation, this question, of what is the return on investments when you're doing R&D, comes up quite often. It's been asked by economists in very formal ways since at least the 1950s, but the data and the methods that were available were really not very strong.
Bias risks: AI can amplify inequalities, like mislabeling non-native English writing as AI-generated. Privacy concerns: Schools face rising cyberattacks, and data misuse risks are high. Accountability: Human oversight is crucial to prevent over-reliance on AI.
In 2023, Australia abandoned its expensive and bureaucratic scholar-led research-assessment programme. New Zealand followed suit soon after. The hope, according to a transition plan unveiled by the Australian federal government's Department of Education and the research sector, was to find a "more modern, data-driven approach". In the United Kingdom, where financial pressures on universities are especially acute, there are similar calls to reform the Research Excellence Framework (REF), the country's performance-based research-funding system.